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Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2023
License: CC BY
Data sources: ZENODO
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Dataset for Unrolled-DOT: An Interpretable Deep Network for Diffuse Optical Tomography

Research datakeyboard_double_arrow_right Dataset 19 Feb 2023 English Publisher:ZenodoFunded by:NSF | Collaborative Research: C...
Authors: Zhao, Yongyi; Raghuram, Ankit; Wang, Fay; Kim, Stephen Hyunkeol; Hielscher, Andreas; Robinson, Jacob T.; Veeraraghavan, Ashok;

doi: 10.5281/zenodo.7654958 , 10.5281/zenodo.7654959

Dataset for Unrolled-DOT: An Interpretable Deep Network for Diffuse Optical Tomography

Abstract

This research was developed with funding from the Defense Advanced Research Projects Agency (DARPA) (Grant No. N66001-19-C-4020). The views, opinions and/or findings expressed are those of the authors and should not be interpreted as representing the official views or policies of the Department of Defense or the U.S. Government. In addition, this project was also funded in part by the NSF Expeditions in Computing (Grant No. 1730574). Author Yongyi Zhao was supported by a training fellowship from the NLM Training Program (Grant No. T15LM007093); author Fay Wang was supported by a National Science Foundation Graduate Research Fellowship (Grant No. DGE-2036197). In addition, this project was also funded in part by the NSF CAREER award (Grant No. 1652633).

Official dataset repository for Unrolled-DOT: An Interpretable Deep Network for Diffuse Optical Tomography. The repository contains both the experimental dataset (allTrainingDat_30-Sep-2021.mat) as well as data that is a dependency for running our code (5_29_21_src-det_10x10_scene_4cm.zip).

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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